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Record W4403468187 · doi:10.12680/balneo.2024.734

Postoperative anticipatory anxiety between women and men in patients with spinal cord injury

2024· article· en· W4403468187 on OpenAlexaff
Ioana Tănase, Simona Isabelle Stoica, Gabriel Ioan Prada

Bibliographic record

VenueBalneo and PRM Research Journal · 2024
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsAnxietySpinal cord injuryMedicinePhysical medicine and rehabilitationSpinal cordPhysical therapyPsychologyAnesthesiaPsychiatry

Abstract

fetched live from OpenAlex

The subtleties involved in the post-surgical recovery of people suffering from spinal cord injuries involve notable psychological issues that require further examination. (1) Background: people affected by spinal cord injuries may experience severe symptoms, as motor skill deficits, sensory processing irregularities, and pain, all of which can have a negative impact on their quality of life and mental health.; (2) Methods: we studied 264 patients hospitalized in the Neurosurgery Clinic 2 of the "Bagdar Arseni" Hospital for acute spinal cord injuries, in 2 groups of patients with and without CBT psychotherapy; (3) Results: we studied 97 women and 167 men; average anxiety was lower in women compared to men, showing a decreasing trend after psychotherapy for both sexes (4) Conclusions: we discovered that anticipatory anxiety after spinal cord injuries is high, especially in male patients. And psychotherapy brings benefits in reducing anxiety for both categories of patients, regardless of the age group they belong to.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.073
GPT teacher head0.442
Teacher spread0.369 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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